***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $120! See below for details.***
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!
This 1-week, accelerated online course teaches participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The course features interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The course covers data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.
PREREQUISITES
To get the most out of this course, participants must complete the prior courses in this specialization:
• Exploring and Preparing your Data
• Storing and Visualizing your Data
• Architecture and Performance
SPECIALIZATION COMPLETION CHALLENGE
As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'From Data to Insights on Google Cloud Platform’ specialization.
Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $120 value given there are 4 courses in the specialization).
You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles.
>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
Ce cours fait partie de la Spécialisation From Data to Insights with Google Cloud Platform
Applying Machine Learning to your Data with GCP
proposé par
À propos de ce cours
4.6
239 notes
Compétences que vous acquerrez
BigqueryMachine LearningGoogle Cloud PlatformCloud Computing
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
16 minutes pour terminer
Introduction
Welcome to the last course in the Data Insights specialization. In this module we will overview the course topics and the labs platform you will be using.
2 vidéos (Total 6 min)
21 minutes pour terminer
Introduction to Machine Learning
In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels.
6 vidéos (Total 21 min), 1 quiz
6 vidéos
Demo: Google Photos2 min
What is deep learning?41s
ML Applications for Business3 min
ML Terms: Instances, Features, Labels3 min
The Spectrum of ML Tools3 min
1 exercice pour s'entraîner
Introduction to Machine Learning
2 heures pour terminer
Pre-trained ML APIs
In this module we will dive into pre-built and pre-trained ML models that we can access (like image recognition and sentiment analysis) within Cloud Datalab.
9 vidéos (Total 52 min), 2 quiz
9 vidéos
Demo: Cloud Translate and Vision APIs5 min
Demo: Natural Language Processing API3 min
Collaborative Notebooks in the Cloud5 min
Demo: Cloud Datalab with BigQuery and Google Analytics7 min
Accessing BigQuery datasets from Cloud Datalab15 min
Visualizing Datasets in Charts1 min
Lab Overview28s
Lab Walkthrough10 min
1 exercice pour s'entraîner
Notebooks in the Cloud10 min
Semaine
22 heures pour terminer
Creating ML Datasets in BigQuery
8 vidéos (Total 35 min), 2 quiz
8 vidéos
Choosing good features8 min
Exploring and Preprocessing Data1 min
Demo: Exploring and Preprocessing Data6 min
Other Tools for Creating Data Pipelines50s
Knowing the Unknowable4 min
Creating Repeatable Dataset Splits2 min
Lab Solution: Creating Repeatable Dataset Splits9 min
1 exercice pour s'entraîner
Intro to Machine Learning10 min
4 heures pour terminer
Creating ML Models in BigQuery
In this module, you will learn how to create machine learning models directly inside of BigQuery. You will learn the new syntax and work through the phases of building, evaluating, and testing an ML model.
6 vidéos (Total 54 min), 1 lecture, 3 quiz
6 vidéos
Phases of Model Building2 min
Demo: Predicting Taxi Cab Fare10 min
Demo: Creating a Classification Model12 min
Lab Intro: Predicting Visitor Return Purchases with BigQuery2 min
Lab Solution: Predicting Visitor Return Purchases in BigQuery20 min
1 lecture
BigQuery ML Resources10 min
1 exercice pour s'entraîner
BigQuery ML
3 minutes pour terminer
End of Course Recap
You've made it to the end! Let's review the lessons learned in the course and what resources are available for continued learning.
1 vidéo (Total 3 min)
1 vidéo
Course Summary3 min
4.6
23 avis80%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
25%
a obtenu une augmentation de salaire ou une promotion
Meilleurs avis
Enjoyed. I would add more in-depth ML part for BigQuery and different scenario. it also good to explain metric how and how to choose right features etc
The instructor Evan is super great to rolling out machine learning in an easy /understandable way. hope he can tech more in-depth of machine learning.
À propos de Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
À propos de la Spécialisation From Data to Insights with Google Cloud Platform
>>>Look for details below for COMPLETION CHALLENGE, receive up to $120 in Qwiklabs credits<<<
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!
This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.
This specialization is intended for the following participants:
● Data Analysts, Business Analysts, Business Intelligence professionals
● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform
To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.
COMPLETION CHALLENGE
For every course you complete before 11:59pm PT May 5, 2019; we will send you 30 Qwiklabs credits (upto $120 USD value)!
>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
Foire Aux Questions
Puis-je prévisualiser un cours avant de m'inscrire ?
Oui, vous pouvez prévisualiser la première vidéo et consulter le programme du cours avant de vous inscrire. Vous devez acheter le cours pour accéder au contenu non inclus dans la prévisualisation.
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Si vous décidez de vous inscrire au cours avant la date de début de session, vous aurez accès à toutes les vidéos et lectures du cours. Vous pourrez soumettre des devoirs à partir du début de la session.
À quoi ai-je droit si je m'inscris ?
Une fois que vous êtes inscrit(e) et que votre session commence, vous avez accès à toutes les vidéos et aux autres ressources, y compris les éléments à lire et le forum de discussion du cours. Vous pouvez afficher et soumettre des devoirs pour vous exercer, et terminer les devoirs notés requis pour obtenir une note et un Certificat de Cours.
Quand recevrai-je mon Certificat de Cours ?
Si vous réussissez le cours, votre Certificat de Cours électronique sera ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat de Cours ou l'ajouter à votre profil LinkedIn.
Pourquoi ne puis-je pas assister à ce cours en auditeur libre ?
Ce cours fait partie du nombre restreint de cours proposés par Coursera actuellement disponibles uniquement aux étudiants ayant payé les frais du cours ou bénéficié de l'Aide Financière, lorsqu'elle est disponible.
Quelle est la politique de remboursement ?
Une aide financière est-elle possible ?
D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.
Coursera propose un accès universel à la meilleure formation au monde,
en partenariat avec des universités et des organisations du plus haut niveau, pour proposer des cours en ligne.
© 2019 Coursera Inc. Tous droits réservés.
